Recent Research on Saliency Detection and Semi-supervised Learning
Jie Yang, Professor, Director of Institute Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China
Monday, September 26, 2016
Brickyard Engineering (BYENG) 420, Tempe campus [map]
Recent research on saliency detection and semi-supervised learning in Prof. Jie Yang’s Lab is presented, including: “Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging” published on IEEE Transactions on Image Processing, 24(12):5671-5683,2015; “FLAP: Fick’s Law Assisted Propagation” published on IEEE Transactions on Neural Networks and Learning Systems，v 26, n 9, p 2148-2162, September 1, 2015; “LPDGL: Label Prediction via Deformed Graph Laplacian for Semi-supervised Learning” published on IEEE Transactions on Neural Networks and Learning Systems，v 26, n 10, p 2261-2274, October 1, 2015; “Multi-modal Curriculum Learning for Semi-supervised Image Classiﬁcation” accepted by IEEE Trans. on Image Processing.
Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University, where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence, including two national 973 research plan projects, three national 863 research plan projects, four National Nature Foundation projects, six international cooperative projects with France, Sweden, Korea, Japan, New Zealand. He has published five book, more than five hundreds of articles in national or international academic journals and conferences. Up to now, he has supervised 5 postdoctoral, 36 doctors and 66 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. One Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 32 patents.